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dc.contributor.authorÇetinkaya, Egemen K.
dc.contributor.authorAlenazi, Mohammed Jumah
dc.contributor.authorPeck, Andrew M.
dc.contributor.authorRohrer, Justin P.
dc.contributor.authorSterbenz, James P. G.
dc.date.accessioned2015-05-20T18:04:31Z
dc.date.available2015-05-20T18:04:31Z
dc.date.issued2015-03-27
dc.identifier.citationÇetinkaya, E.K., Alenazi, M.J.F., Peck, A.M., Rohrer, J.P., Sterbenz, J.P.G. “Multilevel Resilience Analysis of Transportation and Communication Networks,” Telecommunication Systems. (2015). http://dx.doi.org/10.1007/s11235-015-9991-yen_US
dc.identifier.urihttp://hdl.handle.net/1808/17820
dc.descriptionThis is the author's accepted manuscript. The final publication is available at Springer via http://dx.doi.org/10.1007/s11235-015-9991-y .en_US
dc.description.abstractFor many years the research community has attempted to model the Internet in order to better understand its behaviour and improve its performance. Since much of the structural complexity of the Internet is due to its multilevel operation, the Internet’s multilevel nature is an important and non-trivial feature that researchers must consider when developing appropriate models. In this paper, we compare the normalised Laplacian spectra of physical- and logical-level topologies of four commercial ISPs and two research networks against the US freeway topology, and show analytically that physical level communication networks are structurally similar to the US freeway topology. We also generate synthetic Gabriel graphs of physical topologies and show that while these synthetic topologies capture the grid-like structure of actual topologies, they are more expensive than the actual physical level topologies based on a network cost model. Moreover, we introduce a distinction between geographic graphs that include degree-2 nodes needed to capture the geographic paths along which physical links follow, and structural graphs that eliminate these degree-2 nodes and capture only the interconnection properties of the physical graph and its multilevel relationship to logical graph overlays. Furthermore, we develop a multilevel graph evaluation framework and analyse the resilience of single and multilevel graphs using the flow robustness metric. We then confirm that dynamic routing performed over the lower levels helps to improve the performance of a higher level service, and that adaptive challenges more severely impact the performance of the higher levels than non-adaptive challenges.en_US
dc.publisherSpringeren_US
dc.subjectInternet modellingen_US
dc.subjectCritical infrastructureen_US
dc.subjectAttacken_US
dc.subjectGraph spectrumen_US
dc.subjectFlow robustnessen_US
dc.subjectAlgebraic connectivityen_US
dc.subjectSpectral radiusen_US
dc.subjectNetwork scienceen_US
dc.subjectGabriel graphen_US
dc.subjectGeographic graphen_US
dc.subjectStructural graphen_US
dc.subjectMultilevel graphen_US
dc.subjectNetwork costen_US
dc.subjectResilienceen_US
dc.subjectSurvivabilityen_US
dc.subjectDependabilityen_US
dc.subjectPerformabilityen_US
dc.titleMultilevel resilience analysis of transportation and communication networksen_US
dc.typeArticle
kusw.kuauthorSterbenz, James P. G.
kusw.kudepartmentElectrical Engineering and Computer Scienceen_US
dc.identifier.doi10.1007/s11235-015-9991-y
kusw.oaversionScholarly/refereed, author accepted manuscript
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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